Karpathy revisits AI interaction: Even a single question will be worth building a temporary app for in the future.

Beating AI Express News reports that Andrej Karpathy, currently part of Anthropic’s pre-training team, has once again discussed how large models should output results to humans. He argues that as AI takes on more specific tasks, humans will spend more time understanding AI outputs, verifying the processes behind them, and making judgments. Making it faster for people to grasp what AI has accomplished will grow increasingly critical. Karpathy’s suggestions have evolved from text to video: For text, teams can draw on the ASD-STE100 standard to use shorter, less ambiguous language; for complex content, they can create diagrams directly, and further develop animated, interactive web pages. He is most bullish on customized explanatory videos, such as having AI generate a 3Blue1Brown-style animated video with voiceover on the spot for a specific problem. This aligns with Karpathy’s earlier views on AI interaction. Back in May this year, he already recommended using HTML to host complex large model outputs, summarizing the evolution of AI outputs as: plain text → Markdown → HTML, and eventually moving toward interactive videos and simulated environments. Compared to long blocks of text, images, animations, and interactive interfaces can turn complex information into far more accessible forms. As code and model capabilities grow cheaper, software that was not worth developing specifically in the past can now be built on demand. A single web page, an interactive tool, or even a short video can be tailored to serve one person, explain one problem, and be discarded after use.